ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 25, 2025
The
development
of
metal-based
redox
nanozymes
represents
a
new
frontier
in
pollutant
sensing.
In
this
field,
designing
highly
active
and
precisely
regulating
their
enzymatic
activity
are
key
challenges.
work,
we
report
the
construction
copper
peroxide@polydopamine
(CuO2@PDA)
nanozyme
with
dual
enzyme-like
activity,
mimicking
centers
laccase
peroxidase.
Here,
CuO2
acts
as
catalytic
center,
while
PDA
serves
carrier
to
prevent
aggregation
promotes
conversion
CuII/CuI
sites
via
reduction
effect
its
surface
catechol
groups
complete
cycle.
As
expected,
obtained
CuO2@PDA
exhibits
significant
laccase-
peroxidase-mimetic
activities.
Moreover,
can
be
systematically
switched
by
adjusting
pH
temperature.
Specifically,
dominates
near
neutral
pH,
decomposition
into
Cu
ions
H2O2
at
acidic
triggers
peroxidase
activity.
Similarly,
temperature-dependent
prevailing
low
temperatures
high
temperatures.
According
performance
XPS
results,
possible
mechanism
has
been
proposed.
Then,
based
on
pH-dependent
CuO2@PDA,
constructed
detection
system
for
isomers
organic
pollutants,
(CC)
hydroquinone
(HQ).
laccase-like
enables
direct
oxidation
CC
yellow
o-benzoquinone,
HQ
discolors
preoxidized
substrate
generated
peroxidase-like
CuO2@PDA.
selective
sensing
sensitivity
was
achieved
real
water
samples.
This
approach
guide
design
multienzymatic
unveil
potential
uses
environmental
discrimination.
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(16)
Опубликована: Янв. 4, 2024
Abstract
As
a
powerful
tool,
nanozyme
catalysts
broaden
the
avenues
to
implement
bio‐inspired
solutions
for
addressing
many
important
concerns,
covering
energy,
healthcare,
environment,
and
more.
Recent
endeavors,
characterized
by
atomic
precision,
have
enabled
extensive
exploration
of
single‐atom
nanozymes
(SAzymes)
with
high
catalytic
activity,
superior
substrate
selectivity,
integrated
multifunctionalities,
thus
becoming
an
emerging
field
that
bridges
nanotechnology
biology.
This
review
provides
brief
outline
progress
summarizes
latest
research
advances
regarding
SAzymes
in
biomedical
therapeutics,
mainly
including
tumor
therapy,
wound
antibacterial
tissue
anti‐inflammatory
focus
on
their
prototypical
synthesis
therapeutic
mechanisms.
Finally,
current
challenges
future
perspectives
engineering
advanced
are
also
discussed
outlooked.
It
is
anticipated
this
area
shall
provide
useful
guidance
therapy.
Nano-Micro Letters,
Год журнала:
2024,
Номер
16(1)
Опубликована: Фев. 6, 2024
Inflammatory
skin
disorders
can
cause
chronic
scarring
and
functional
impairments,
posing
a
significant
burden
on
patients
the
healthcare
system.
Conventional
therapies,
such
as
corticosteroids
nonsteroidal
anti-inflammatory
drugs,
are
limited
in
efficacy
associated
with
adverse
effects.
Recently,
nanozyme
(NZ)-based
hydrogels
have
shown
great
promise
addressing
these
challenges.
NZ-based
possess
unique
therapeutic
abilities
by
combining
benefits
of
redox
nanomaterials
enzymatic
activity
water-retaining
capacity
hydrogels.
The
multifaceted
effects
include
scavenging
reactive
oxygen
species
other
inflammatory
mediators
modulating
immune
responses
toward
pro-regenerative
environment
enhancing
regenerative
potential
triggering
cell
migration
differentiation.
This
review
highlights
current
state
art
NZ-engineered
(NZ@hydrogels)
for
regeneration
applications.
It
also
discusses
underlying
chemo-mechano-biological
mechanisms
behind
their
effectiveness.
Additionally,
challenges
future
directions
this
ground,
particularly
clinical
translation,
addressed.
insights
provided
aid
design
engineering
novel
hydrogels,
offering
new
possibilities
targeted
personalized
skin-care
therapies.
Chemical Reviews,
Год журнала:
2024,
Номер
124(7), С. 4258 - 4331
Опубликована: Март 28, 2024
Artificial
Intelligence
(AI)
has
advanced
material
research
that
were
previously
intractable,
for
example,
the
machine
learning
(ML)
been
able
to
predict
some
unprecedented
thermal
properties.
In
this
review,
we
first
elucidate
methodologies
underpinning
discriminative
and
generative
models,
as
well
paradigm
of
optimization
approaches.
Then,
present
a
series
case
studies
showcasing
application
in
metamaterial
design.
Finally,
give
brief
discussion
on
challenges
opportunities
fast
developing
field.
particular,
review
provides:
(1)
Optimization
metamaterials
using
algorithms
achieve
specific
target
(2)
Integration
models
with
enhance
computational
efficiency.
(3)
Generative
structural
design
metamaterials.
Diagnostics,
Год журнала:
2024,
Номер
14(11), С. 1100 - 1100
Опубликована: Май 25, 2024
The
integration
of
artificial
intelligence
(AI)
into
point-of-care
(POC)
biosensing
has
the
potential
to
revolutionize
diagnostic
methodologies
by
offering
rapid,
accurate,
and
accessible
health
assessment
directly
at
patient
level.
This
review
paper
explores
transformative
impact
AI
technologies
on
POC
biosensing,
emphasizing
recent
computational
advancements,
ongoing
challenges,
future
prospects
in
field.
We
provide
an
overview
core
their
use
POC,
highlighting
issues
challenges
that
may
be
solved
with
AI.
follow
can
applied
including
machine
learning
algorithms,
neural
networks,
data
processing
frameworks
facilitate
real-time
analytical
decision-making.
explore
applications
each
stage
biosensor
development
process,
diverse
opportunities
beyond
simple
analysis
procedures.
include
a
thorough
outstanding
field
AI-assisted
focusing
technical
ethical
regarding
widespread
adoption
these
technologies,
such
as
security,
algorithmic
bias,
regulatory
compliance.
Through
this
review,
we
aim
emphasize
role
advancing
inform
researchers,
clinicians,
policymakers
about
reshaping
global
healthcare
landscapes.
Zeitschrift für Physikalische Chemie,
Год журнала:
2024,
Номер
238(5), С. 809 - 827
Опубликована: Фев. 13, 2024
Abstract
Agricultural
waste
upcycling
is
crucial
in
the
context
of
climate
change.
Utilizing
seven
agricultural
by-products
as
basal
substrates,
coconut
meal
(
Cocos
nucifera
)
emerged
most
efficient,
supporting
highest
extracellular
lipase
(triacyl
glycerol
acyl
hydrolases)
yield
i.e.,
5.27
±
1.75
a
U
mL
−1
.
This
study
explored
production
lipases
through
solid-state
fermentation
by
using
co-cultures
Aspergillus
niger
,
wild
and
mutant
strains.
Optimization
experiments
revealed
that
30
g
resulted
optimal
for
activity
6.16
0.16
Incubation
at
°C,
1
inoculum
size,
distilled
water
diluent
further
enhanced
lipolytic
activity.
The
identified
sucrose
preferred
carbon
source,
with
4
%
concentration
demonstrating
13.66
0.33
Supplementary
sources
like
olive
oil
nitrogen
such
ammonium
chloride
peptone
significantly
increased
production.
Magnesium
sulfate
(0.25
%)
among
metal
ions
exhibited
potential
19.98
0.01
crude
displayed
pH
5.0
positive
effects
observed
Fe
2+
Ca
Mg
while
Co
Na
+
Hg
had
negative
impacts
on
research
not
only
contributes
to
understanding
factors
influencing
activity,
but
also
serves
an
technique.
Advanced Healthcare Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 13, 2024
Abstract
As
nanoscale
materials
with
the
function
of
catalyzing
substrates
through
enzymatic
kinetics,
nanozymes
are
regarded
as
potential
alternatives
to
natural
enzymes.
Compared
protein‐based
enzymes,
exhibit
attractive
characteristics
low
preparation
cost,
robust
activity,
flexible
performance
adjustment,
and
versatile
functionalization.
These
advantages
endow
them
wide
use
from
biochemical
sensing
environmental
remediation
medical
theranostics.
Especially
in
biomedical
diagnosis,
feature
catalytic
signal
amplification
provided
by
makes
emerging
labels
for
detection
biomarkers
diseases,
rapid
developments
observed
recent
years.
To
provide
a
comprehensive
overview
progress
made
this
dynamic
field,
here
an
diagnosis
enabled
is
provided.
This
review
first
summarizes
synthesis
nanozyme
then
discusses
main
strategies
applied
enhance
their
activity
specificity.
Subsequently,
representative
utilization
combined
biological
elements
disease
reviewed,
including
related
metabolic,
cardiovascular,
nervous,
digestive
diseases
well
cancers.
Finally,
some
development
trends
nanozyme‐enabled
highlighted,
corresponding
challenges
also
pointed
out,
aiming
inspire
future
efforts
further
advance
promising
field.
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 12, 2025
Ulcerative
colitis
(UC)
is
a
chronic
gastrointestinal
inflammatory
disorder
with
rising
prevalence.
Due
to
the
recurrent
and
difficult-to-treat
nature
of
UC
symptoms,
current
pharmacological
treatments
fail
meet
patients'
expectations.
This
study
presents
machine
learning-assisted
high-throughput
screening
strategy
expedite
discovery
efficient
nanozymes
for
treatment.
Therapeutic
requirements,
including
antioxidant
property,
acid
stability,
zeta
potential,
are
quantified
predicted
by
using
learning
model.
Non-quantifiable
attributes,
intestinal
barrier
repair
efficacy
biosafety,
assessed
via
screening.
Feature
significance
analysis,
sure
independence
screening,
sparsifying
operator
symbolic
regression
reveal
high-dimensional
structure-activity
relationships
between
material
features
therapeutic
needs.
SrDy
